Content
72%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-organized, actionable skill body that uses lean structured lists and appropriately delegates detail to real, clearly-signaled reference files. Its main weakness is workflow clarity: the page-building process lacks explicit validation/verification checkpoints, which matters given the programmatic-seo batch use case it points to.
Suggestions
Add an explicit validation/verification step to the page-building workflow (e.g., 'Before publishing, verify all competitor claims against the centralized data file and check that internal links and FAQ schema resolve').
Include a short feedback loop for batch/programmatic generation (e.g., generate one page → validate → then scale), since the skill references programmatic-seo for at-scale page sets.
Tighten the Core Principles section by dropping self-evident lines like 'Readers are comparing—they'll verify claims' to lift conciseness toward fully lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient structured lists and concrete guidance assuming Claude's competence, with a few trimmable principle lines (e.g. 'Readers are comparing—they'll verify claims') that keep it just below fully lean. | 4 / 5 |
Actionability | Provides concrete, executable guidance — exact URL patterns ('/alternatives/[competitor]'), specific target keywords, numbered page structures, keyword tables, and a YAML output spec — with bulk detail appropriately delegated to reference files. | 4 / 5 |
Workflow Clarity | A clear sequence exists (assess → research → build → output) with ordered per-format section lists, but the page-building flow lacks explicit output validation/verification checkpoints; given the programmatic-seo batch context mentioned in Related Skills, the validation cap applies. | 3 / 5 |
Progressive Disclosure | The body is a clear overview that delegates detailed templates and architecture to two well-signaled, one-level-deep reference files (references/templates.md and references/content-architecture.md), both of which exist and hold the bulk content. | 5 / 5 |
Total | 16 / 20 Passed |